A população idosa mundial está crescendo e, com ela, o número de diagnósticos de doenças relacionadas à velhice como, por exemplo, declínios cognitivos também. Essas doenças costumam afetar a autonomia do idoso no seu lar, especialmente no que se refere à realização de atividades diárias. Com isso em vista, é preciso empregar cuidadores e serviços de saúde que acabam por implicar em altos custos. Nesse sentido, surge a necessidade de conceber sistemas robustos, automatizados, utilizáveis e de baixo custo para a assistência pessoal. A concepção desses sistemas faz menção à área de Ambientes de Vivência Assistida. Portanto, esta dissertação propõe uma abordagem que beneficia os sistemas para Ambientes de Vivência Assistida com a capacidade de prever ações humanas para a facilitação de atividades diárias, particularmente quando declínios cognitivos relacionados à elas ocorrerem. Nesse sentido, foi concebido um meta-modelo semântico para a geração de modelos conceituais de contexto e de comportamento, compostos pelas ações humanas. A partir disso, a previsão de ações (informação de suporte) é realizada por um mecanismo de predição e inferência composto por um modelo semântico probabilístico. A abordagem é demonstrada através de um estudo de caso cujo cenário representa uma situação de declínio cognitivo, enfrentada por um usuário, que impede a condução de uma atividade diária. Então, o mecanismo de predição e inferência, utilizando o modelo semântico probabilístico, prevê qual a ação mais adequada que facilite a conclusão da atividade. Essa previsão é avaliada para aferir o quão bem um usuário seria auxiliado, isto é, se a operação prevista foi por ele realizada. Para isso, foi utilizado um dataset relacionado ao cenário do estudo de caso e medidas de desempenho como a precisão, a revocação e a medida-F. Os resultados dessa avaliação se mostraram promissores sendo, em média, 69,5% para a precisão, 100% para a revocação e 81% para a medida-F. As principais contribuições deste trabalho dizem respeito ao meta-modelo semântico a partir do qual pesquisas na área deste trabalho podem utilizar para gerar modelos de comportamento, e ao modelo semântico probabilístico que realiza predição através de raciocínio incerto sobre os modelos de comportamento, propiciando decisões mais precisas para auxiliar usuários com declínio cognitivo. / The world’s elderly population is growing and, with it, the number of diagnoses of diseases related to old age, such as cognitive declines as well. These diseases usually affect the autonomy of the elderly in their home, especially when it comes to performing daily activities. With this in mind, it is necessary to employ caregivers and health services that end up implying high costs. In this sense, the need arises to design robust, automated, usable and low-cost systems for personal assistance. The design of these systems makes reference to the area of Ambient Assisted Living. Therefore, this dissertation proposes an approach that benefits the Ambient Assisted Living systems with the ability to predict human actions for the facilitation of daily activities, particularly when cognitive declines related to them occur. In this sense, a semantic meta-model was conceived for the generation of conceptual models of context and behavior, composed by human actions. From this, the prediction of actions (information of support) is realized by a mechanism of prediction and inference composed by a probabilistic semantic model. The approach is demonstrated through a case study whose scenario represents a situation of cognitive decline, faced by a user, that prevents the conduct of a daily activity. Then, the prediction and inference mechanism, using the probabilistic semantic model, predicts the most appropriate action that facilitates the conclusion of the activity. This forecast is evaluated to gauge how well a user would be assisted, that is, if the intended operation was performed by him. For this, a dataset related to the case study scenario and performance measures such as precision, recall, and F-measure were used. The results of this evaluation are promising, averaging 69.5% for precision, 100% for recall and 81% for F-measure. The main contributions of this work are related to the semantic meta-model from which research in the area of this work can be used to generate behavioral models, and to the probabilistic semantic model that performs prediction through uncertain reasoning over behavior models, providing better decisions to help users with cognitive decline.

In the past few years, the general work habits of people have changed dramatically, raising concerns about their well-being. Numerous health-related problems have been observed from their health records such as obesity, diabetes or heart diseases, and unhealthy eating is one of its factors. But these problems can be prevented if people start eating healthy food. The population, in general, is also realizing that healthy eating is important for their well-being. However, they usually resist because they assume that healthy food is not tasty and they do not want to comprise their taste preferences. Moreover, they have various other considerations that become barriers for them while selecting a healthy recipe. These are:(1) their complex, restrained needs (i.e., allergies and nutritional goals), (2) their strict lifestyle or dietary preferences (i.e., their desire to eat only vegan or vegetarian food), (3) lack of knowledge about how to choose healthy recipes while exploiting their taste preferences, (4) choosing recipes that maximize the use of available ingredients in their kitchen. Numerous researchers have been working in this field and developed various applications and systems to suggest healthy recipes. Apart from unhealthy eating, household food wastage has become a public problem, and some of the causes, which trigger it are users’ taste preferences (i.e., disliking of the food), and not cooking food before ingredients expiry dates. Thus, we propose a personalized recipes recommender system as a proof of concept called CAPRECIPES, which is based on context-awareness. It tackles the aforementioned barriers and improves the users’ experiences by providing the recommendations of personalized recipes with minimal efforts while exploiting their dynamically changing contexts. CAPRECIPES also helps in the reduction of food wastage as it first shows the recipes, which contain the ingredients that are expiring soon and matches with users’ taste preferences. It also considers that recipes do not violate users’ health restrictions and nutritional goals, and use the maximum number of available ingredients in users’ kitchen. The proposed system gathers users’ taste preferences by exploiting two third-party social media applications (i.e., Facebook and YouTube) and collaborative-based filtering algorithm. This thesis also explores various natural language processing techniques such as text analysis and parts of speech tagging to identify the recipes’ preferences and to find the most relevant match for each recipe or ingredient having different names. / Graduate

A população idosa mundial está crescendo e, com ela, o número de diagnósticos de doenças relacionadas à velhice como, por exemplo, declínios cognitivos também. Essas doenças costumam afetar a autonomia do idoso no seu lar, especialmente no que se refere à realização de atividades diárias. Com isso em vista, é preciso empregar cuidadores e serviços de saúde que acabam por implicar em altos custos. Nesse sentido, surge a necessidade de conceber sistemas robustos, automatizados, utilizáveis e de baixo custo para a assistência pessoal. A concepção desses sistemas faz menção à área de Ambientes de Vivência Assistida. Portanto, esta dissertação propõe uma abordagem que beneficia os sistemas para Ambientes de Vivência Assistida com a capacidade de prever ações humanas para a facilitação de atividades diárias, particularmente quando declínios cognitivos relacionados à elas ocorrerem. Nesse sentido, foi concebido um meta-modelo semântico para a geração de modelos conceituais de contexto e de comportamento, compostos pelas ações humanas. A partir disso, a previsão de ações (informação de suporte) é realizada por um mecanismo de predição e inferência composto por um modelo semântico probabilístico. A abordagem é demonstrada através de um estudo de caso cujo cenário representa uma situação de declínio cognitivo, enfrentada por um usuário, que impede a condução de uma atividade diária. Então, o mecanismo de predição e inferência, utilizando o modelo semântico probabilístico, prevê qual a ação mais adequada que facilite a conclusão da atividade. Essa previsão é avaliada para aferir o quão bem um usuário seria auxiliado, isto é, se a operação prevista foi por ele realizada. Para isso, foi utilizado um dataset relacionado ao cenário do estudo de caso e medidas de desempenho como a precisão, a revocação e a medida-F. Os resultados dessa avaliação se mostraram promissores sendo, em média, 69,5% para a precisão, 100% para a revocação e 81% para a medida-F. As principais contribuições deste trabalho dizem respeito ao meta-modelo semântico a partir do qual pesquisas na área deste trabalho podem utilizar para gerar modelos de comportamento, e ao modelo semântico probabilístico que realiza predição através de raciocínio incerto sobre os modelos de comportamento, propiciando decisões mais precisas para auxiliar usuários com declínio cognitivo. / The world’s elderly population is growing and, with it, the number of diagnoses of diseases related to old age, such as cognitive declines as well. These diseases usually affect the autonomy of the elderly in their home, especially when it comes to performing daily activities. With this in mind, it is necessary to employ caregivers and health services that end up implying high costs. In this sense, the need arises to design robust, automated, usable and low-cost systems for personal assistance. The design of these systems makes reference to the area of Ambient Assisted Living. Therefore, this dissertation proposes an approach that benefits the Ambient Assisted Living systems with the ability to predict human actions for the facilitation of daily activities, particularly when cognitive declines related to them occur. In this sense, a semantic meta-model was conceived for the generation of conceptual models of context and behavior, composed by human actions. From this, the prediction of actions (information of support) is realized by a mechanism of prediction and inference composed by a probabilistic semantic model. The approach is demonstrated through a case study whose scenario represents a situation of cognitive decline, faced by a user, that prevents the conduct of a daily activity. Then, the prediction and inference mechanism, using the probabilistic semantic model, predicts the most appropriate action that facilitates the conclusion of the activity. This forecast is evaluated to gauge how well a user would be assisted, that is, if the intended operation was performed by him. For this, a dataset related to the case study scenario and performance measures such as precision, recall, and F-measure were used. The results of this evaluation are promising, averaging 69.5% for precision, 100% for recall and 81% for F-measure. The main contributions of this work are related to the semantic meta-model from which research in the area of this work can be used to generate behavioral models, and to the probabilistic semantic model that performs prediction through uncertain reasoning over behavior models, providing better decisions to help users with cognitive decline.

Based on a variety of archival sources, this paper presents estimations for cost of living and living standards for Lima, Peru during the 19th century. During this century Peru experienced deep swings in economic activity marked by the independence wars, the War of the Pacific, and a commodity boom. These new series show that a sizable inflationary period during the guano age had dampeningeffects on the living standards of the popular class. While living standards peaked by mid 1850s, GDP per capita did not do so until two decades later. These results suggest that the guano bonanza failed to lift working-class living standards above subsistence levels. Even though living standards climbed steadily, almost reaching those of England, all these gains were lost by the end of the century. / Basado en diversas fuentes primarias, este artículo presenta estimaciones del costo de vida y de los estándares de vida para Lima, Perú durante el siglo XIX. Durante ese siglo, dicho país experimentó profundas fluctuaciones en la actividad económica debido a las guerras de independencia, la guerra del Pacífico y al auge monoexportador. Estos factores alimentaron un importante proceso inflacionario durante la era del guano que tuvo efectos adversos en los estándares de vida de las clases populares.Es de notar que los estándares de vida llegaron a su punto máximo a mediados de la década de 1850 mientras que el PBI per cápita lo hizo dos décadas más tarde. Estos resultados sugieren que la bonanza del guano no logró mejorar el bienestar económico de las clases populares de manera sustentable. A pesar de alcanzar niveles similares a Inglaterra, estos beneficios se evaporaron hacia el fin de siglo.

Em virtude dos danos cognitivos, sensório motores e psicossociais causados pelo transtorno mental no funcionamento ocupacional, a qualidade de vida dos sujeitos é deteriorada e o isolamento e a inatividade se impõem, acentuando a exclusão. OBJETIVO: Identificar o nível de desempenho em atividades de vida independente de portadores de transtornos mentais e correlacionar variáveis. MÉTODO: Estudo transversal descritivo em dois serviços de saúde mental matogrossenses. Amostra constituída por 146 sujeitos (73 portadores de transtorno mental/ 73 informantes destes). Foi feita a Revisão Integrativa da Literatura sobre atividades de vida independente em portadores de transtorno mental, posteriormente aplicado um questionário sociodemográfico e o Inventário de Habilidades de Vida Independente (ILSS-BR) para identificar áreas da vida independente potencialmente prejudicadas. ANÁLISE DOS DADOS: Análise e correlações pelo STATA. Escores obtidos equiparados de acordo com a pontuação do ILSS, no escore global e subescalas.RESULTADOS: Maioria mulheres (71,2%), casados (63%), 35 a44 anos (46%), baixo nível escolar (48% concluíram quarta série), baixo poder de compra (68,6% com renda máxima R$ 1.024,00). Os domínios da vida independente mais comprometidos são Emprego, Lazer e Transporte, que sofreram influência de diagnóstico, tempo de transtorno mental, escolaridade e nível econômico. DISCUSSÃO: Os escores da versão para o informante ficaram em 1,3 (de 0 a 4) e do paciente, em 10,2% (de 0 A 100%), indicando graves limitações em atividades de vida independente e discrepâncias entre a percepção dos dois grupos. Foram correlacionados prejuízo nas atividades de vida independente e baixa escolaridade, baixo nível econômico, desqualificação profissional, maior tendência a abandonar estudos e cursos profissionalizantes. Os homens são mais vulneráveis ao comprometimento e sofrem maior impacto na área laboral. CONCLUSÕES: Os domínios comprometidos são relacionadas à contratualidade e socialização pelas atividades, merecendo intervenções de enfermagem diretas e singulares, macrossociais e empreendidas no habitat / Because of the cognitive, sensory motor and psychosocial damage caused by mental disorders in occupational functioning, quality of life is deteriorating, isolation and inactivity are result, accentuating the deletion. OBJECTIVE: To identify the level of performance in life activities regardless of the mental patients and correlate variables.METHODS: A descriptive cross- sectional study in two Mato Grosso mental health services. Sample of 146 subjects (73 patients with mental disorders / 73 informants of them). Integrative Literature Review was done about independent living activities in patients with mental disorders, afterward to a sociodemographic questionnaire and the Inventory of Independent Living Skills (ILSS-BR) was intended to identify areas of potentially impaired independent living. ANALYSIS: Analysis and correlations by STATA. Similar scores obtained by the score of ILSS, the overall score and subscales. RESULTS: Most women (71.2%), married (63), 44 35 years old (46%), low educational level (48% completed fourth grade), low purchasing power (68.6% with R$1.024,00 maximum income). The more committed areas of independent living are Employment, Leisure and Transport, who have been influenced by diagnosis, duration of mental disorder, education and income. DISCUSSION: The scores for the informant version were 1.3% and patient, at 10.2%, indicating severe limitations in independent living activities and discrepancies between the perceptions of the two groups. Injury were correlated in independent living and low education, low income, greater tendency to abandon studies and vocational courses activities. Men are more vulnerable and suffer greater impact in employment area. CONCLUSIONS: The affected modules are related by contractuality and socialization activities, requiring direct and individuallynursing interventions in macrosocial- habitat

A pressão pela publicação e divulgação de mais dados governamentais produzidos pelos governos tem contribuído não só para aprimoramento dos níveis de transparência pública, mas também como forma de potencializar o desenvolvimento de serviços públicos digitais por meio de novas plataformas TIC. Em São Paulo, a criação de um ambiente de inovação, pautado pela criação de ferramentas e soluções digitais do tipo, desenvolvidas através da coparticipação entre o governo municipal e demais partes interessadas, se baseou essencialmente na utilização de dados abertos de transporte e mobilidade urbana. Dessa forma, nasceu o MobiLab, um laboratório vivo (living lab), pautado pela copartipação de setor público, empresas, universidades e demais potenciais usuários que juntos, passaram a direcionar seus esforços para a criação de soluções digitais voltadas para solucionar problemas de locomoção presentes hoje no cotidiano do município de São Paulo. Esta dissertação, portanto, buscou lançar um olhar para o MobiLab, de modo a poder realizar um estudo de caso que contemplasse as questões envolvendo a utilização de dados governamentais abertos, a partir da utilização de um living lab, o MobiLab, como catalisador de diferentes oportunidades e desafios que governos, empresas e a sociedade podem enfrentar engajadas no uso de novas tecnologias criadas a partir do uso de dados abertos. Como forma de melhor analisar as atividades realizadas no MobiLab, a pesquisa realizou um estudo de caso junto à startups participantes de um programa de residência, onde foi possível acompanhar parte do processo de criação de aplicativos digitais e a percepção dos usuários do laboratório a respeito da utilização de um ambiente de inovação tecnológica, caracterizado pelo uso de dados abertos e a forma como ele incide no desenvolvimento das soluções propostas / The pressure for the publication and dissemination of more government-produced government data has contributed not only to improved levels of public transparency, but also as a way of leveraging the development of digital public services through new ICT platforms. In São Paulo, the creation of an innovative environment, based on the creation of digital tools and solutions of the kind, developed through the co-participation between the municipal government and other interested parties, based on the use of open transport data and urban mobility. MobiLab was born, a living lab, based on the co-participation of the public sector, companies, universities and other potential users, who together began to direct their efforts towards the creation of digital solutions aimed at solving problems of Urban mobility present today in the daily life of the municipality of São Paulo. This dissertation, therefore, sought to look at MobiLab, as a case study that contemplated the issues involving the use of open government data, focused on urban mobility, and guided by the use of a living lab, the MobiLab, as a catalyst for different opportunities and challenges that governments, startups and society may face while using new technologies created from the use of open government data. As a way to better analyze the activities developed at MobiLab, the research carried out a case study with startups participants of a residence program, where it was possible to follow part of the creation process of the applications and the perception of the users regarding the use of an environment of technological innovation, based on the use of open data and the way in which it focuses on the development of the proposed solutions

Individuals with Traumatic Brain Injury (TBI) often need to be taught independent living skills in order to reintegrate into community settings. This study examined the use of video modeling to teach culinary skills to three individuals with TBI. Video modeling is easily accessible, inexpensive, and not reliant on an additional person to directly teach skills. For all three participants, video modeling resulted in increases in cooking skills using a task analysis created for each food item prepared. For one participant, the skills maintained over two weeks and generalized to a novel food. For another participant video modeling was insufficient in reaching high skills levels therefore a second phase utilizing reinforcement and corrective feedback was implemented. This phase demonstrated with the additional component including reinforcement and corrective feedback, the third participant reached high skill levels.

Enon-Bersheba (E&B) area has approximately 10 200 hectors of pristine communal land that is rare to find in the Cacadu region. This prime communal land is situated in the bank of the Sundays River Valley in the Eastern Cape Province. Enon-Bersheba falls under the jurisdiction of the Sundays River Local Municipality. The Municipal jurisdiction provides easy access to this pristine commonage that presents opportunities for economic development as well as residential opportunities. This study presents the diversity of sustainable livelihood alternatives from the community‟s perspective. This study finds that giving the beneficiaries of land restitution authority over decision-making on land usage is an important contributor to success. Land is a significant asset, and it becomes more valuable and development-worthy if legal institutions are in place to manage the planning and development processes, for its full utilisation. In addition to this, the study provides a community-driven development framework with which potential development partners can interact to enhance revenue generating activities and strengthen the institutional environment through the formation of community-private-public-partnerships. The participatory research process that was undertaken made essential findings. The study validates the use of livelihoods-based approach to poverty alleviation. A bottom-up participatory process was effective in determining how best Enon-Bersheba communal land can be put into effective and efficient use. Likewise, an integrated approach to development planning was proven to be important. This study proved an extra-ordinary belief that the stability and changed value systems within a community often derive from complex social problems that are inherently dynamic. The involvement of the Independent Electoral Commission in the referendum process for Enon-Bersheba‟s legal entity that will manage the land suggests the credibility of the process. The existing information around potential development options of Enon-Bersheba was consolidated and verified by the community. The awareness of community abilities and resources served to enhance community mobilization for social action. The study provides a framework for development policy imperatives and a new vision for Enon-Bersheba.

The purpose of this study is to show which incomes of the selected trades and professions have more nearly approached a parallel to the changing cost of living during the period January 1, 1936, to December 31, 1945.

No description available.